SOTAVerified

Information Retrieval

Information retrieval is the task of ranking a list of documents or search results in response to a query

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Papers

Showing 926950 of 4740 papers

TitleStatusHype
Unsupervised Multilingual Dense Retrieval via Generative Pseudo LabelingCode0
Backtracing: Retrieving the Cause of the QueryCode2
Learning to Ask Critical Questions for Assisting Product Search0
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge AugmentationCode1
KeNet:Knowledge-enhanced Doc-Label Attention Network for Multi-label text classification0
Evaluating the Explainability of Neural Rankers0
Tri-Modal Motion Retrieval by Learning a Joint Embedding Space0
Retrieval-Augmented Generation for AI-Generated Content: A SurveyCode5
Negative Sampling in Knowledge Graph Representation Learning: A Review0
Survey in Characterization of Semantic Change0
Corpus-Steered Query Expansion with Large Language ModelsCode1
A Categorization of Complexity Classes for Information Retrieval and Synthesis Using Natural Logic0
Hierarchical Multimodal Pre-training for Visually Rich Webpage UnderstandingCode1
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents0
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a SurveyCode1
UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval0
Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial DescriptionsCode0
IR2: Information Regularization for Information RetrievalCode0
Universal Model in Online Customer Service0
Self-Retrieval: End-to-End Information Retrieval with One Large Language ModelCode1
Inference for Regression with Variables Generated by AI or Machine Learning0
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information RetrievalCode1
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval ModelsCode1
Assessing generalization capability of text ranking models in Polish0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-tower Bi-Encoder (RoBERTa)Recall@10074.78Unverified
2Siamese Bi-Encoder (RoBERTa)Recall@10071.63Unverified
3BM25Recall@10051.33Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAE v2MRR@1042.58Unverified
2ConAE-256Time (ms)0.33Unverified
3ConAE-128Time (ms)0.32Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BmAP@1000.16Unverified
2TSDAEmAP@1000.15Unverified
#ModelMetricClaimedVerifiedStatus
1hpipubcommoninfNDCG0.56Unverified
2hpictallinfNDCG0.55Unverified
#ModelMetricClaimedVerifiedStatus
1MINDHR@300.32Unverified
#ModelMetricClaimedVerifiedStatus
1Distilled NetworknDCG@100.53Unverified
#ModelMetricClaimedVerifiedStatus
1RetroMAEMRR@100.42Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-5.8B-msmarconDCG@1050.25Unverified
#ModelMetricClaimedVerifiedStatus
1Information Retrieval + SVM1:1 Accuracy83.79Unverified
#ModelMetricClaimedVerifiedStatus
1BERT+CONCEPT FILTERNDCG0.25Unverified